Samenvatting
In image analysis one often encounters spherical images, for instance in retinal imaging. The behavior of the vessels in the retina is an indicator of several diseases. To automate disease diagnosis using retinal images, it is necessary to develop an algorithm that automatically identifies and tracks vessels. To deal with crossings due to projected blood vessels in the image it is common to lift retinal images to the space of planar positions and orientations.M2 := R2×S1. This implicitly assumes that the flat image accurately represents the geometry of the retina. As the eyeball is a sphere (and not a plane), we propose to compute the cusp-free, crossing-preserving geodesics in the space of spherical positions and orientations .W2 on wide-field images. We clarify how to relate both manifolds and compare the calculated geodesics. The results show clear advantages of crossing-preserving tracking in.W2 over non-crossing-preserving tracking in .W2 and are comparable to tracking results in .M2.
Originele taal-2 | Engels |
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Titel | Scale Space and Variational Methods in Computer Vision |
Subtitel | 10th International Conference, SSVM 2025, Dartington, UK, May 18–22, 2025, Proceedings, Part II |
Redacteuren | Tatiana A. Bubba, Romina Gaburro, Silvia Gazzola, Kostas Papafitsoros, Marcelo Pereyra, Carola-Bibiane Schönlieb |
Plaats van productie | Cham |
Uitgeverij | Springer |
Hoofdstuk | II |
Pagina's | 192-204 |
Aantal pagina's | 13 |
ISBN van elektronische versie | 978-3-031-92369-2 |
ISBN van geprinte versie | 978-3-031-92368-5 |
DOI's | |
Status | Gepubliceerd - 17 mei 2025 |
Evenement | 10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025 - Dartington, Verenigd Koninkrijk Duur: 18 mei 2025 → 22 mei 2025 |
Publicatie series
Naam | Lecture Notes in Computer Science |
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Volume | 15668 |
ISSN van geprinte versie | 0302-9743 |
ISSN van elektronische versie | 1611-3349 |
Congres
Congres | 10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025 |
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Verkorte titel | SSVM 2025 |
Land/Regio | Verenigd Koninkrijk |
Stad | Dartington |
Periode | 18/05/25 → 22/05/25 |
Financiering
We gratefully acknowledge the Dutch Foundation of Science NWO for its financial support by Talent Programme VICI 2020 Exact Sciences (Duits, Geometric learning for Image Analysis, VI.C 202-031). We thank the students of the modeling week project \u201CGeodesic Tracking of Blood Vessels in Wide-Field Retinal Images\u201D for preliminary experimental results.